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Apache Spark

Apache Spark® operations, simplified

Secure and automate the deployment, maintenance and upgrades of Spark on Kubernetes. Run your big data clusters across private and public clouds.


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Made to give you
peace of mind

  • 10 years security maintenance
  • Open source
  • Simple per node subscription

A complete solution for Spark® with enterprise-grade support

Simply the best way to run Apache Spark®, whether on the cloud or in your data centre; runs on Kubernetes.


  • Supported and maintained for up to 10 years
  • Integrated monitoring
  • Includes a fully supported distribution of Apache Spark
Get started with Charmed Spark Get support

Run Apache Spark® on

Integrate it with


What can you achieve with Spark®?


Streaming data integration

Integrate, join and process data in motion with Spark Streaming and Spark Structured Streaming for streaming applications ranging from industrial IoT to clickstream.


Batch data processing

Develop advanced batch data processing applications that crunch big data and run at massive scale.


SQL analytics

Use Spark SQL to write advanced SQL queries to perform analysis on your data – whatever form it takes.


Machine learning

Use Spark's MLlib toolkit to build machine learning models trained on vast datasets, or use Spark for feature engineering in Python – all using your Kubernetes cluster.


Consulting services

Expert support for your Spark® project directly from Canonical.


  • Platform architecture and design
  • Solution deployment
  • Ad-hoc consulting


Apache Spark® resources

Canonical announces supported solution for Apache Spark® on Kubernetes

Canonical announces Charmed Spark ‐ an advanced solution for Apache Spark® that provides everything users need to run Apache Spark on Kubernetes.


Charmed Spark release 1 reference architecture

Get a detailed overview of Canonical Charmed Spark architecture – an element of the Canonical Data Fabric suite of solutions for data-intensive workloads.


Securing Apache Spark Big Data Operations

Learn about big data security best practices and pragmatic steps that you can take to secure your Spark applications – wherever they may be running.


Apache®, Apache Spark, Spark®, and the Spark logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries.